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Small Boxes Big Data: A Deep Learning Approach to Optimize Variable
  Sized Bin Packing

Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing

14 February 2017
Feng Mao
E. Blanco
Mingang Fu
Rohit Jain
Anurag Gupta
Sebastien Mancel
Rong Yuan
Stephen D. Guo
Sai Kumar
Yayang Tian
ArXivPDFHTML

Papers citing "Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing"

5 / 5 papers shown
Title
Machine Learning for the Multi-Dimensional Bin Packing Problem:
  Literature Review and Empirical Evaluation
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
Wenjie Wu
Changjun Fan
Jin-Yu Huang
Zhong Liu
Junchi Yan
30
0
0
13 Dec 2023
Automated Algorithm Selection: from Feature-Based to Feature-Free
  Approaches
Automated Algorithm Selection: from Feature-Based to Feature-Free Approaches
M. Alissa
Kevin Sim
E. Hart
15
17
0
24 Mar 2022
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
Richa Verma
Aniruddha Singhal
H. Khadilkar
Ansuma Basumatary
Siddharth Nayak
H. Singh
S. Kumar
Rajesh Sinha
OffRL
6
31
0
01 Jul 2020
Think out of the package: Recommending package types for e-commerce
  shipments
Think out of the package: Recommending package types for e-commerce shipments
Karthik S. Gurumoorthy
Subhajit Sanyal
Vineet Chaoji
6
5
0
05 Jun 2020
Generative Neural Network based Spectrum Sharing using Linear Sum
  Assignment Problems
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems
A. B. Zaki
J. Huang
Kaishun Wu
B. Elhalawany
22
15
0
12 Oct 2019
1